Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1HyperparameterTuningJob

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

Represents a HyperparameterTuningJob. A HyperparameterTuningJob has a Study specification and multiple CustomJobs with identical CustomJob specification.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1HyperparameterTuningJob

Returns a new instance of GoogleCloudAiplatformV1beta1HyperparameterTuningJob.



7336
7337
7338
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7336

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#create_time ⇒ String

Output only. Time when the HyperparameterTuningJob was created. Corresponds to the JSON property createTime

Returns:

  • (String) 


7243
7244
7245
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7243

def create_time
  @create_time
end

#display_name ⇒ String

Required. The display name of the HyperparameterTuningJob. The name can be up to 128 characters long and can consist of any UTF-8 characters. Corresponds to the JSON property displayName

Returns:

  • (String) 


7249
7250
7251
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7249

def display_name
  @display_name
end

#encryption_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EncryptionSpec

Represents a customer-managed encryption key spec that can be applied to a top- level resource. Corresponds to the JSON property encryptionSpec

Returns:



7255
7256
7257
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7255

def encryption_spec
  @encryption_spec
end

#end_time ⇒ String

Output only. Time when the HyperparameterTuningJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED. Corresponds to the JSON property endTime

Returns:

  • (String) 


7262
7263
7264
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7262

def end_time
  @end_time
end

#error ⇒ Google::Apis::AiplatformV1beta1::GoogleRpcStatus

The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide. Corresponds to the JSON property error

Returns:



7272
7273
7274
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7272

def error
  @error
end

#labels ⇒ Hash<String,String>

The labels with user-defined metadata to organize HyperparameterTuningJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. Corresponds to the JSON property labels

Returns:

  • (Hash<String,String>) 


7281
7282
7283
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7281

def labels
  @labels
end

#max_failed_trial_count ⇒ Fixnum

The number of failed Trials that need to be seen before failing the HyperparameterTuningJob. If set to 0, Vertex AI decides how many Trials must fail before the whole job fails. Corresponds to the JSON property maxFailedTrialCount

Returns:

  • (Fixnum) 


7288
7289
7290
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7288

def max_failed_trial_count
  @max_failed_trial_count
end

#max_trial_count ⇒ Fixnum

Required. The desired total number of Trials. Corresponds to the JSON property maxTrialCount

Returns:

  • (Fixnum) 


7293
7294
7295
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7293

def max_trial_count
  @max_trial_count
end

#name ⇒ String

Output only. Resource name of the HyperparameterTuningJob. Corresponds to the JSON property name

Returns:

  • (String) 


7298
7299
7300
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7298

def name
  @name
end

#parallel_trial_count ⇒ Fixnum

Required. The desired number of Trials to run in parallel. Corresponds to the JSON property parallelTrialCount

Returns:

  • (Fixnum) 


7303
7304
7305
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7303

def parallel_trial_count
  @parallel_trial_count
end

#start_time ⇒ String

Output only. Time when the HyperparameterTuningJob for the first time entered the JOB_STATE_RUNNING state. Corresponds to the JSON property startTime

Returns:

  • (String) 


7309
7310
7311
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7309

def start_time
  @start_time
end

#state ⇒ String

Output only. The detailed state of the job. Corresponds to the JSON property state

Returns:

  • (String) 


7314
7315
7316
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7314

def state
  @state
end

#study_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StudySpec

Represents specification of a Study. Corresponds to the JSON property studySpec

Returns:



7319
7320
7321
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7319

def study_spec
  @study_spec
end

#trial_job_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CustomJobSpec

Represents the spec of a CustomJob. Corresponds to the JSON property trialJobSpec

Returns:



7324
7325
7326
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7324

def trial_job_spec
  @trial_job_spec
end

#trials ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial>

Output only. Trials of the HyperparameterTuningJob. Corresponds to the JSON property trials

Returns:



7329
7330
7331
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7329

def trials
  @trials
end

#update_time ⇒ String

Output only. Time when the HyperparameterTuningJob was most recently updated. Corresponds to the JSON property updateTime

Returns:

  • (String) 


7334
7335
7336
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7334

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



7341
7342
7343
7344
7345
7346
7347
7348
7349
7350
7351
7352
7353
7354
7355
7356
7357
7358
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 7341

def update!(**args)
  @create_time = args[:create_time] if args.key?(:create_time)
  @display_name = args[:display_name] if args.key?(:display_name)
  @encryption_spec = args[:encryption_spec] if args.key?(:encryption_spec)
  @end_time = args[:end_time] if args.key?(:end_time)
  @error = args[:error] if args.key?(:error)
  @labels = args[:labels] if args.key?(:labels)
  @max_failed_trial_count = args[:max_failed_trial_count] if args.key?(:max_failed_trial_count)
  @max_trial_count = args[:max_trial_count] if args.key?(:max_trial_count)
  @name = args[:name] if args.key?(:name)
  @parallel_trial_count = args[:parallel_trial_count] if args.key?(:parallel_trial_count)
  @start_time = args[:start_time] if args.key?(:start_time)
  @state = args[:state] if args.key?(:state)
  @study_spec = args[:study_spec] if args.key?(:study_spec)
  @trial_job_spec = args[:trial_job_spec] if args.key?(:trial_job_spec)
  @trials = args[:trials] if args.key?(:trials)
  @update_time = args[:update_time] if args.key?(:update_time)
end